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SN Video coding and web development. SQL Server indexing, statistics, and parameter sniffing / Springer

View streaming video from Academic Video Online. 2 available

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Online

ONLINE

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Online

ONLINE

Material Type
Streaming Videos
Publication Info.
London, England : Springer Nature, 2020.

Details

Description
1 online resource (73 minutes)
Playing Time
011223
Description
two-dimensional moving image tdi rdacontent
computer c rdamedia
video v rdamedia
online resource cr rdacarrier
video file rda
Series
Academic video online.
Note
Title from resource description page (viewed March 5, 2021).
Summary
Dive into performance tuning by learning how data is structured and accessed in SQL Server. Learn from this video how to use execution plans, IO metrics, and query timing to identify problematic queries and trace latency directly to missing or incorrect indexes. Also learn about cardinality and how it affects execution plans and overall query performance. Understanding how indexes and statistics work provides a solid foundation for writing better queries and architecting more effective database objects. The knowledge from this video helps you to dive further into procedural TSQL and identify why a stored procedure or ad-hoc query can perform unexpectedly badly. This video examines such cases through a discussion of the causes of poor performance in TSQL procedures along with solutions such as parameter sniffing. In addition, the video demonstrates how local variables perform differently from parameters and how plan reuse can benefit performance. When plan reuse harms performance, the correct solutions will be presented, allowing you to permanently solve a performance challenge without the use of hacks or temporary fixes. This video is for database administrators, developers, and architects who need to write fast and efficient database queries. For database administrators who are asked to troubleshoot slow queries to make them faster. For anyone working against SQL Server who relies upon highly performant queries to perform important tasks.
Language
In English.
Subject
SQL server.
Data structures (Computer science)
Database management.
Statistics -- Data processing.
Electronic data processing.
Genre/Form
Instructional films.
Streaming videos.
Added Author
Pollack, Edward (Database administrator), speaker.
Springer Nature (Firm), publisher.
Added Title
SQL Server indexing, statistics, and parameter sniffing
Springer Nature video coding and web development
Other Form:
Original version: 9781484257272
ISBN
9781484257272
Standard No.
ASP5107701/marc